"A tool for finding and analyzing company reviews sorted by sentiment" matching MCP servers:

Enables sentiment analysis of text blocks using the Api Ninjas API, returning sentiment scores and overall sentiment classification for up to 2000 characters of text.

Enables AI agents to calculate corporate tax payments, check compliance deadlines, and generate pre-filled Gibraltar company forms (annual return, office change, incorporation pack) without API keys or rate limits.

Provides a hello and echo tool for basic interaction.

Enables reading Apple App Store customer reviews, publishing developer responses, and deleting them via the App Store Connect API with a narrow Customer Support role.

Provides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.

Enables reading and replying to Google Play Store reviews using the Android Publisher API, with no extra functionality to limit security risk.

About Search Steam games, fetch user reviews, and analyze sentiment with topic drill-down to make informed purchasing decisions.

Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).

An MCP server that delivers cryptocurrency sentiment analysis to AI agents.

Enables AI agents to research Amazon reviews and voice-of-customer signals through read-only tools for paginated reviews, complaint evidence, rating summaries, media filtering, and side-by-side comparisons of two products.

Turkish sentiment anlaysis with MCP

Enriches company data from a domain name, providing firmographics, socials, tech stack, and contact info via a pay-per-call x402 micropayment API.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

Provides sentiment analysis with emotion detection, confidence scores, and key phrase extraction for single texts or batches up to 20, using pay-per-call via x402 micropayments (USDC on Base L2).

Provides real-time XLM (Stellar) market sentiment as a tool, computed from a keyless composite of the Crypto Fear & Greed Index, SDEX order-flow imbalance, and 24h price momentum. Enables users to get deterministic sentiment scores and market data without any API keys or paid data feeds.

A deterministic read on Hacker News developer sentiment for any brand, tool, or library, exposing four MCP tools for sentiment summary, mention search, feature requests, and trending discussions.

MCP server that scrapes Yandex Maps business reviews and company info, exposing them to AI assistants via three tools. No API key required, uses headless browser.

Provides news sentiment scores, media volume trends, and historical coverage data for any topic, enabling AI to analyze positive or negative coverage over time.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.